Estimated Rice Sales at Perum Bulog Sub Divre Medan using the Double Exponential Smoothing Method


  • Windy Esti Andari
  • Diyah Nurhayati


Perum Bulog, Medan Sub Divre, rice sales, forecasting, Double Exponential Smoothing


The estimated rice sales at Perum Bulog Sub Divre Medan is crucial information in planning and managing rice supplies. In this study, we apply the Double Exponential Smoothing forecasting method to estimate rice sales at Perum Bulog Sub Divre Medan. This approach allows us to identify complex sales patterns and generate accurate forecasts to aid in informed decision making. We use historical rice sales data to train a forecasting model and evaluate its performance. Experimental results show that the Double Exponential Smoothing method can provide reliable estimates of rice sales, with a satisfactory level of accuracy. The implications of these findings are discussed in the context of inventory management and operational planning of Perum Bulog Sub Divre Medan.


Ariyanto, d. (2015) . Application of the Double Exponential Smoothing Method in Forecasting Food Crop Production, Polinema Informatics , 4 (1).

Assaori, S. (1984) . Forecasting Techniques and Methods , Faculty of Economics, University of Indonesia, Jakarta.

Hudiyanti, Chintia Vairra, d. (2019) . Comparison Double Moving Average and Double Exponential Smoothing for Forecasting the Number of Arrivals Foreign Tourists at Ngurah Rai Airport, Development of Information Technology and Computer Science , 3 (3).

Iwa S, Ries T, M., (2011): Application of Time Series Data Forecast Value Accuracy Measures in Selection of Sales Volume Forecasting Models for PT Satria Mandiri Citra Mulia, ComTech , 2 (2).

Lesmana, E. (2016) . Application Method Exponential Smoothing Brown And Exponential Growth to Predict the Population of West Java Province , 1 .

Makridakis, d. (1999) . Forecasting Methods and Applications , Erlangga, Jakarta.

Nildawati, d. (2018) . Arrangement of Rice Supplies at Perum Bulog Divre Central Sulawesi With Method Economics Orders Quantity (EOQ), Journal Scientific Mathematics and Applied , 15 (2).

Pujiati, Etri, d. (2016) . Forecasting Using Brown's Double Exponential Smoothing Method (Case Study: Consumer Price Index (CPI) Samarinda City, Exponential , 7 (1).

Purwanto, A, d. SH(2017) . Forecasting Techniques with Double Exponential Smoothing in Sugar Distributors, Information Technology and Computers , 3 (1).

Raihan, d. (2016) . Forecasting Model Exponential Smoothing Time Series Average Mechanical Availability Unit Off Highway Truck Cat 777D Caterpillar , POROS ENGINEERING , 8 (1).

Rendering, d. H. (2001) . Operations Management , Salemba Empat, Jakarta. Rosnani (2007): Production Systems , Graha Ilmu, Yogyakarta.

Sudjana . (1989) . Mathematical Statistics , Erlangga, Jakarta.

Wahyuni, Risa, d. (2016) . Forecasting Production Levels of Food Crops and Plantation Crops in Bulukumba Regency Using the Exponential Smoothing Method , MSA , 5 (1).

Wardah, S. I (2016) . Forecasting Analysis of Packaged Banana Chips Product Sales, Journal of Industrial Engineering , 11 (3).




How to Cite

Windy Esti Andari, & Diyah Nurhayati. (2024). Estimated Rice Sales at Perum Bulog Sub Divre Medan using the Double Exponential Smoothing Method. International Journal of Science and Mathematics Education, 1(1), 10–17. Retrieved from